Letter: Usefulness and Accuracy of Artificial Intelligence Chatbot Responses to Patient Questions for Neurosurgical Procedures

Abstract

To the Editor: I am writing to express my appreciation for the insightful study conducted by Gajjar et al,1 titled "Usefulness and Accuracy of Artificial Intelligence Chatbot Responses to Patient Questions for Neurosurgical Procedures." This study presents a rigorous framework for assessing the current capabilities and limitations of artificial intelligence (AI) in the important domain of patient education. The interdisciplinary approach, which involves both neurosurgeons and nurses in rating the chatbot responses, and the use of validated tools such as PEMAT, adds robustness to the evaluation process. The findings that AI chatbots prioritize accuracy over understandability and have readability levels that exceed recommended grades highlight key areas that require improvement. In addition to the evaluation presented in the manuscript, we would like to offer additional insights and considerations for future research and discourse. First, exploring ways to enhance the user experience of interacting with AI chatbots, such as incorporating interactive features, voice recognition, or chatbot customization options, can improve patient engagement and satisfaction. Second, considering the diverse patient population in healthcare settings, developing AI chatbots that can provide responses in multiple languages can help overcome language barriers and improve information accessibility for all patients. Third, implementing mechanisms that allow AI chatbots to continuously learn from user interactions and feedback can enable them to adapt and improve their responses over time. This leads to more personalized and effective patient education. Furthermore, empowering patients with the knowledge and skills to critically evaluate AI-generated information, understand the limitations of AI, and make informed decisions in collaboration with healthcare providers can enhance patient autonomy and promote shared decision making. Overall, this study makes a significant contribution to understanding the role of AI in patient education in neurosurgery. The insights provided by the authors, along with the additional considerations mentioned above, lay the foundation for further advancements in utilizing AI to enhance patient care and education.

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